code: def _monkey_tfkeras():
      from tensorflow import keras as tfkeras
  
      from wandb.integration.keras import (
          WandbCallback,
      )  # add keras import hooks first
  
      models = getattr(tfkeras, "models", None)
      if not models:
          return
      models.Model._keras_or_tfkeras = tfkeras
      if models.Model.fit == _magic_fit:
          return
      models.Model._fit = models.Model.fit
      models.Model.fit = _magic_fit
      models.Model._fit_generator = models.Model.fit_generator
      models.Model.fit_generator = _magic_fit_generator
  
imports: import argparse
  import copy
  import json
  import os
  import re
  import sys
  import yaml
  import wandb
  from wandb import trigger
  from wandb.util import add_import_hook, get_optional_module
label_desc: Use image node_id 9 for calling a global function with example usage: _monkey_tfkeras() without return types